Xfce Desktop on Debian 12 with Heavy GUI Software Works in V86 #1513
wangyenshu
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Update: Memory state file is compressed into about 80M with Zstandard. But launching software is still slow. I think that this is because loading many small files over http is inefficient. Many files in debian-9p-rootfs-flat are less than 0.5KB. I guess using raw disk image, setting |
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Summary:
This is a demo of Xfce Desktop on Debian 12 with many scientific computing software installed running in v86.
Try it here;
https://wangyenshu.github.io/Scientific-Lab-in-Browser/
Build Guidance:
https://github.com/wangyenshu/Scientific-Lab-in-Browser/tree/main
At startup, it will download about 1.5GB memory state files. You may open dev console to see its downloading status.
Some screenshots:




Avogadro:
QtDesigner:
Paraview:
Browser:
Installed Software:
Biology:
seaview jemboss bedtools critterding neuron samtools bcftools bwa cd-hit
Chemistry:
xdrawchem quantum-espresso nwchem avogadro pymol ghemical bkchem adun.app garlic jmol apbs atomes chemtool cp2k drawxtl mopac7-bin mpqc openbabel-gui pdb2pqr tandem-mass
Electronics:
kicad fritzing simulide
Engineering:
freecad librecad calculix-cgx calculix-ccx gmsh sumo openfoam
Geography:
qgis grass-gui
Geometry:
geogebra polymake carmetal
Image Analysis:
imagej gwyddion
Logic:
coq z3 tkgate gprolog
Machine Learning:
weka
Mathematics:
sagemath wxmaxima gap macaulay2 singular pari-gp 4ti2 coinor-cbc coinor-csdp
Meteorology:
cdo ferret
Numerical Computation:
octave gnudatalanguage jupyter-notebook
Physics:
yade opticalraytracer abinit cadabra2 gerris v-sim liggghts lammps getdp esys-particle z88
Statistics:
rkward pspp jags fityk
Typesetting:
texlive-base texlive-science texlive-pictures texstudio lyx ipe jabref
Viewing:
paraview grace veusz gnuplot-qt mathgl labplot udav geomview xyscan povray
Utilities:
xournal planner abiword gnumeric pandoc cmake git tmux mc htop vim nano p7zip-full geany mousepad atril engrampa artha openmpi-bin python3-pip curl build-essential ffmpeg
If there were future performance improvements, such as GPU and multi-core support, it could be of highly practical usage, like acting as a serverless virtual lab for a university.
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